Conventional circuit elements are constrained by limitations in area and power efficiency at
processing physical signals. Recently, researchers have delved into high-order dynamics …

Artificial intelligence (AI) systems surpass certain human intelligence abilities in a statistical
sense as a whole, but are not yet the true realization of these human intelligence abilities …

Abstract Serotonin (5-HT) regulates working memory within the prefrontal cortex network,
which is crucial for understanding obsessive-compulsive disorder. However, the …

Place and grid cells provide a neural system for self-location and tend to fire in sequences
within each cycle of the hippocampal theta rhythm when rodents run on a linear track. These …

We introduce a generalized Spiking Locally Competitive Algorithm (LCA) that is biologically
plausible and exhibits adaptability to a large variety of neuron models and network …

With intelligence technology as the core technology and intelligent computing power as the
productive force, the intelligent era has once again pushed brain science to the forefront of …

We present a multi-scale differentiable brain modeling workflow utilizing BrainPy, a unique
differentiable brain simulator that combines accurate brain simulation with powerful gradient …

This study combines experimental techniques and mathematical modeling to investigate the
dynamics of C. elegans body-wall muscle cells. Specifically, by conducting voltage clamp …

摘要以智能科技为核心技术, 智能算力为生产力的智能时代再次把脑科学推向世界科学与技术
前沿. 脑科学是研究人, 动物和机器的认知与智能的本质和规律的科学. 对神经系统结构和功能 …

Biophysical neuron models provide insights into cellular mechanisms underlying neural
computations. However, a central challenge has been the question of how to identify the …